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5,225 results for “moderation”
Figure 5 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 5. Richness per family (A) and relative abundance of species (B) registered in the upper Rio Machado basin.
Figure 4 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 4. Relative diversity of species (A), and relative abundance of specimens (B) per order registered in the upper Rio Machado basin.
Figure 2 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 2. Habitats of the sampled station in the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil.
Figure 1 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 1. Map of the study area from the upper Rio Machado, Rio Madeira basin, Rondônia, Brazil. The sampled station is indicated by the red plus symbol.
Figure 3 in Fish fauna of moderate altitude from first order stream in upper Rio Machado, Rondônia, Brazil
Figure 3. Fishes registered from the tributary of Igarapé Piracolina, upper Rio Machado, Vilhena, Rondônia. Bryconops piracolina (1-2); Creagrutus petilus (3); Hyphessobrycon aff. notidanos (4-5); H. lucenorum (6-7); Hyphessobrycon cf. melanostichos (8); Moenkhausia parecis (9); M. cambacica (10); Erythrinus erythrinus (11); Pyrrhulina sp. nov. (12-13); Ancistrus verecundus (14-15); Tatia intermedia (16); Corydoras hephaestus (17); Megalechis thoracata (18); Cetopsorhamdia clathrata (19); Rhamdia quelen (20); Aequidens aff. rondoni (21); Brachyhypopomus degy (22); Hoplias malabaricus not represented herein.
Sexual selection moderates heat stress response in males and females
<p><span>1. </span><span>A widespread effect of climate change is the displacement of organisms from their thermal optima. The associated thermal stress imposed by climate change has been argued to have a particularly strong impact on male reproduction but evidence for this postulated sex-specific stress response is equivocal. </span></p> <p><span>2. </span><span>One important factor that may explain intra- and interspecific variation in stress responses is sexual selection, which is predicted to magnify negative effects of stress. Nevertheless, empirical studies exploring the </span><span>interplay of sexual selection and heat stress </span><span>are still scarce. </span></p> <p><span>3. </span><span>We tested experimentally for an interaction between sexual selection and thermal stress in the red flour beetle Tribolium castaneum by contrasting heat responses in male and female reproductive success between setups of enforced monogamy versus polygamy. </span></p> <p><span>4. </span><span>We found that polygamy magnifies detrimental effects of heat stress in males but relaxes the observed negative effects in females. Our results suggest that sexual selection can reverse sex differences in thermal sensitivity, and may therefore alter sex-specific selection on alleles associated with heat tolerance. </span></p> <p><span>5. </span><span>Assuming that sexual selection and natural selection are aligned to favour the same genetic variants under environmental stress, our findings support the idea that sexual selection on males may promote the adaptation to current global warming.</span></p>
Acclimation to moderate temperatures can have strong negative impacts on heat tolerance of arctic arthropods
<p>The Arctic is impacted by some of the fastest temperature changes observed on Earth, but the impact on terrestrial arthropod fauna is unclear. Acute physiological thermal limits of terrestrial ectotherms from high latitudes often exceed the local air temperatures, suggesting that they may be able to cope with increasing temperatures. However, knowledge of how arctic terrestrial arthropods cope with elevated temperatures for longer periods is lacking. Here we investigate how acclimation temperature and exposure time affect the acute physiological heat tolerance of five terrestrial arthropod species (<em>Neomolgus littoralis, Megaphorura arctica, Nysius groenlandicus</em>, <em>Psammotettix lividellus</em>, and <em>Nabis flavomarginatus</em>) immediately after collection in arctic and sub-arctic habitats. We show that although acute heat tolerances are relatively high, even exposure to moderate (temperature span assessed ca. 3-29°C) acclimation temperatures for 24 hours have strong negative effects on heat tolerance for four of the five species. Similarly, exposure time negatively affected heat tolerance, depending on species and temperature. Together our results suggest that exposure to even moderately elevated temperatures for periods of 24 h or even shorter can lead to lower acute heat tolerance for cold-adapted terrestrial arthropod species from sub-Arctic and Arctic regions. Consequently, climate change leading to extended periods of mildly elevated temperatures may have strong negative effects on these species. We argue that this aspect is currently overlooked when assessing the ability of arthropods from Arctic and sub-Artic regions to cope with climate changes as such predictions are typically based on acute heat tolerance estimates and with the assumption of beneficial acclimation responses.</p>
Data set for manuscript titled "Morphological, physiological and metabolic responses of diverse barley inbreds to dry down and moderate drought stress"
<p>The primary aim of the study was to understand the genotypic diversity on plant morphology, photosynthetic responses, metabolite shift and their relationship in diverse barley inbreds under dry down (DD) and moderate drought (MD) stress using 23 genetically diverse parental inbreds. The data were collected from over a period of 28 days after the start of stress treatment. The publised data set indcludes the emmeans of all the evaluated characters. Metabolite profiling was done in samples collected from 7 d and 12 d after the start of DD and MD stress.</p>
The dataset of "Evaluation of Digital Supply Chain Technology's Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain"
<p>This dataset involves the data from the questionnaire, which come from the project "Evaluation of Digital Supply Chain Technology’s Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain". It comprises three dimensions questions, technology, sustainability and supply chain dynamism. The datas come from two Chinese energy firms, <span>China Resources Power Zhejiang Company and Hunan HuaDian Changsha Electric Co., Ltd.</span></p>
Dataset used for "A Recommender System of Buggy App Checkers for App Store Moderators"
<p>This is the dataset used for paper: "A Recommender System of Buggy App Checkers for App Store Moderators", published on the <em>International Conference on Mobile Software Engineering and Systems (MOBILESoft)</em> in 2015.<br> <br> <strong>Dataset Collection</strong><br> We built a dataset that consists of a random sample of <em><strong>Android app metadata</strong></em> and <em><strong>user reviews</strong></em> available on the <em>Google Play Store</em> on January and March 2014.<br> Since the Google Play Store is continuously evolving (adding, removing and/or updating apps), we updated the dataset twice.<br> The dataset D1 contains available apps in the Google Play Store in January 2014.<br> Then, we created a new snapshot (D2) of the Google Play Store in March 2014.<br> <br> The apps belong to the 27 different categories defined by Google (at the time of writing the paper), and the 4 predefined subcategories (free, paid, new_free, and new_paid). For each category-subcategory pair (e.g. tools-free, tools-paid, sports-new_free, etc.), we collected a maximum of 500 samples, resulting in a median number of 1.978 apps per category.</p> <p>For each app, we retrieved the following metadata: <em>name, package, creator, version code, version name, number of downloads, size, upload date, star rating, star counting</em>, and the set of <em>permission requests</em>.<br> <br> In addition, for each app, we collected up to a maximum of the latest 500 reviews posted by users in the Google Play Store. For each review, we retrieved its metadata:<em> title, description, device,</em> and <em>version</em> of the app. None of these fields were mandatory, thus<br> several reviews lack some of these details.<br> From all the reviews attached to an app, we only considered the reviews associated with the latest version of the app —i.e., we discarded unversioned and old-versioned reviews. Thus, resulting in a corpus of 1,402,717 reviews (2014 Jan.).</p> <p> </p> <p><strong>Dataset Stats</strong><br> Some stats about the datasets:</p> <p>- <strong>D1</strong> (<em>Jan. 2014</em>) contains 38,781 apps requesting 7,826 different permissions, and 1,402,717 user reviews.</p> <p>- <strong>D2</strong> (<em>Mar. 2014</em>) contains 46,644 apps and 9,319 different permission requests, and 1,361,319 user reviews.</p> <p>Additional stats about the datasets are available <a href="https://sites.google.com/site/androidbuggyappcheckers">here</a>.<br> <br> <br> <strong>Dataset Description</strong><br> To store the dataset, we created a graph database with <a href="https://neo4j.com/">Neo4j</a>. This dataset therefore consists of a graph describing the apps as nodes and edges. We chose a graph database because the graph visualization helps to identify connections among data (e.g.,<br> clusters of apps sharing similar sets of permission requests).<br> <br> In particular, our dataset graph contains six <em>types of nodes</em>:<br> - <em>APP</em> nodes containing metadata of each app,<br> - <em>PERMISSION</em> nodes describing permission types,<br> - <em>CATEGORY</em> nodes describing app categories,<br> - <em>SUBCATEGORY</em> nodes describing app subcategories,<br> - <em>USER_REVIEW</em> nodes storing user reviews.<br> - <em>TOPIC</em> topics mined from user reviews (using LDA).<br> <br> Furthermore, there are five <em>types of relationships</em> between APP nodes and each of the remaining nodes:</p> <p>- <em>USES_PERMISSION</em> relationships between APP and PERMISSION nodes<br> - <em>HAS_REVIEW</em> between APP and USER_REVIEW nodes<br> - <em>HAS_TOPIC</em> between USER_REVIEW and TOPIC nodes<br> - <em>BELONGS_TO_CATEGORY</em> between APP and CATEGORY nodes<br> - <em>BELONGS_TO_SUBCATEGORY</em> between APP and SUBCATEGORY nodes</p> <p><br> <strong>Dataset Files Info</strong></p> <ul> <li><strong>Neo4j 2.0 Databases</strong> <ul> <li><em><strong>googlePlayDB1-Jan2014_neo4j_2_0.rar</strong></em></li> <li><em><strong>googlePlayDB2-Mar2014_neo4j_2_0.rar</strong></em><br> We provide two Neo4j databases containing the 2 snapshots of the Google Play Store (January and March 2014). These are the original databases created for the paper. The databases were created with <strong>Neo4j 2.0. </strong>In particular with the tool version <em>'Neo4j 2.0.0-M06 Community Edition' (latest version available at the time of implementing the paper in 2014).</em><br> </li> </ul> </li> <li><strong>Neo4j 3.5 Databases</strong> <ul> <li><strong>googlePlayDB1-Jan2014_neo4j_3_5_28.rar</strong></li> <li><strong>googlePlayDB2-Mar2014_neo4j_3_5_28.rar</strong><br> Currently, the version Neo4j 2.0 is deprecated and it is not available for download in the official <em>Neo4j Download Center</em>. We have migrated the original databases (Neo4j 2.0) to Neo4j 3.5.28.<br> The databases can be opened with the tool version: <em>'Neo4j Community Edition 3.5.28'.<br> The tool can be downloaded from the official </em><a href="https://neo4j.com/download-center/#community">Neo4j Donwload</a> page.<br> <br> In order to open the databases with more recent versions of Neo4j, the databases must be first migrated to the corresponding version. Instructions about the migration process can be found in the <a href="https://neo4j.com/docs/upgrade-migration-guide/current/understanding-upgrades-migration/">Neo4j Migration Guide</a>.<br> <br> First time the Neo4j database is connected, it could request credentials. The username and pasword are: neo4j/neo4j <br> <br> </li> </ul> </li> </ul> <p> </p>
HDF files for the time-dependent inversion of the 2016 moderate earthquakes along Chaman fault
<p>We use GAMMA software to process Sentinel-1 SLC data and generate InSAR data. After converting the data into UTM coordinates, we use LiCSBAS to perform the time-series analysis, and the resulting HDF files are imported to MATLAB to perform the time-dependent inversion. MATLAB source codes are available.</p> <p>Original Sentinel-1 SLC data are available from https://scihub.copernicus.eu/dhus.</p>
Replication Package - Moderator Factors of Software Security and Performance Verification
<p>Replication package for the paper "Moderator Factors of Software Security and Performance Verification"</p>
MHD-test particles simulations of moderate CME and CIR-driven geomagnetic storms at solar minimum
<p>field100x180.t0.data contains results from GAMERA code to produce Figure 3. Variables, grids, and units are described in the file. </p> <p><a href="https://zenodo.org/api/files/caa1f0ae-8f00-45f8-90bc-d639a9c39e97/May2019_kp3_2000_both-Lstar_PSD.h5">May2019_kp3_2000_both-Lstar_PSD.h5</a> contains simulated 2000 MeV/G electron phase space density during the May event on a radial and time grid and is used to plot Figure 5. Its radial profile at 05/14 10UT is used in Figure 7a. The unit of PSD is (c/MeV/cm)^3.</p> <p><a href="https://zenodo.org/api/files/caa1f0ae-8f00-45f8-90bc-d639a9c39e97/May2019_kp3_2000_both-Lstar_PSD.h5">May2019_kp3_5000_both-Lstar_PSD.h5</a> contains simulated 5000 MeV/G electron phase space density during the May event on a radial and time grid. Its radial profile at 05/14 10UT is used in Figure 7b. The unit of PSD is (c/MeV/cm)^3.</p> <p><a href="https://zenodo.org/api/files/caa1f0ae-8f00-45f8-90bc-d639a9c39e97/Sept2019_Gamera_2000_both-Lstar_PSD.h5">Sept2019_Gamera_2000_both-Lstar_PSD.h5</a> contains simulated 2000 MeV/G electron phase space density during the May event on a radial and time grid and is used to plot Figure 6. Its radial profile at 09/03 00UT is used in Figure 7c. The unit of PSD is (c/MeV/cm)^3.</p> <p><a href="https://zenodo.org/api/files/caa1f0ae-8f00-45f8-90bc-d639a9c39e97/Sept2019_Gamera_2000_both-Lstar_PSD.h5">Sept2019_Gamera_5000_both-Lstar_PSD.h5</a> contains simulated 5000 MeV/G electron phase space density during the May event on a radial and time grid. Its radial profile at 09/03 00UT is used in Figure 7d. The unit of PSD is (c/MeV/cm)^3.</p>
Global daily Aerosol Optical Depth measurements from Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Aqua and Terra satellites
<p>This repository contains input MODIS AOD data prepared for “Subways and Urban Air Polution” by Gendron-Carrier, Gonzalez-Navarro, Polloni and Turner (American Economic Journal: Applied Economics, <a href="https://doi.org/10.1257/app.20180168">https://doi.org/10.1257/app.20180168</a>). The main replication archive is available at <a href="https://doi.org/10.3886/E126401V1">https://doi.org/10.3886/E126401V1</a> .</p> <p>Description of input MODIS AOD data</p> <p>The Moderate Resolution Imaging Spectroradiometers aboard the Terra and Aqua earth-observing satellites provide daily measures of the aerosol optical depth of the atmosphere at a 3km spatial resolution everywhere in the world. Data is available in ‘granules’ which describe five minutes of satellite time. These granules are available, more or less continuously, from February 24, 2000 for the Terra satellite and from July 4, 2002 for Aqua. During September of 2018, we downloaded all available granules for Terra and Aqua until August 31, 2018 and subsequently consolidated them into daily rasters describing global AOD. In August 2020, we processed additional Terra data. This archive therefore contains daily rasters for Aqua (from 2002-07-04 to 2018-08-31) and Terra (from 2000-02-24 to 2020-07-31). We note that February 2005 data are missing for the Aqua satellite.</p> <p> </p> <p>We use source products MOD04_3K (<a href="https://doi.org/10.5067/MODIS/MOD04_L2.006">https://doi.org/10.5067/MODIS/MOD04_L2.006</a>) and MYD04_3K (<a href="https://doi.org/10.5067/MODIS/MYD04_L2.006">https://doi.org/10.5067/MODIS/MYD04_L2.006</a>). The product files are stored in Hierarchical Data Format (HDF) and we use the "Optical Depth Land And Ocean" layer, which is stored as a Scientific Data Set (SDS) within the HDF file, as our measure of aerosol optical depth. The "Optical Depth Land And Ocean" dataset contains only the AOD retrievals of high quality. We convert all HDF formatted granules to GIS compatible formats using the HDF-EOS To GeoTIFF Conversion Tool (HEG) provided by NASA’s Earth Observing System Program. We consolidate GeoTIFF granules into a global raster for each day using ArcGIS. First, we keep only AOD values that do contain information. The missing value is -9999 in AOD retrievals. Second, we create a raster catalog with all the granules for a given day and calculate the average AOD value using the Raster Catalog to Raster Dataset tool. The code used to accomplish this is included for reference purposes in “dofiles/old_work” of the main replication archive at <a href="https://doi.org/10.3886/E126401V1">https://doi.org/10.3886/E126401V1</a>.</p>
Adaptive, randomized, non-inferiority trial to evaluate the efficacy of monoclonal antibodies in outpatients with mild or moderate COVID-19
<p><span>The dataset is based on the results of a trial called MANTICO (Clinical trial number NCT05205759). The study is a non-inferiority randomised controlled trial comparing the clinical efficacy of bamlanivimab/etesevimab, casirivimab/imdevimab, and sotrovimab in outpatients aged 50 or older with early COVID-19. The primary outcome was COVID-19 progression (hospitalisation, need of supplemental oxygen therapy, or death through day 14). </span></p>
BUKTI CORRESPONDING AUTHOR IGNATIA MARTHA HENDRATI Email: ignatia.hendrati.ep@upnjatim.ac.id Journal Cogent Business and Management The Role of Moderation Activities The Influence of The Audit Committee And The Board Of Directors on The Planning of The Sustainability Report
<p><strong>The Role of Moderation Activities The influence of the Audit Committee and the Board of Directors on the Planning of the Sustainability Report</strong></p> <p><strong>Abstract</strong></p> <p>In order to show the consistency of agency theory as a theory to explain the influence of the Audit Committee and the Board of Directors on Sustainability, this study will explore the role of moderating actions of the Audit Committee and the Board of Directors on Sustainability. The firms that make up the demographic and research sample for this study, which uses a quantitative technique, are those that are included in the Jakarta Islamic Index for the years 2017 through 2021. the study's yearly financial report panel data. The data analysis methods employed in this study were robust, fixed effects, random effects, and ordinary least square regression. These methods are one of the regression solution approaches that may be used with a lot of flexibility in research that combines thoughts, ideas, and facts. The first study found that the audit committee had an effect on sustainability, whereas the second found that the board of directors has no effect. Due to the third and fourth conclusions of the role of activities, the audit committee and board of directors are less strong on sustainability.</p> <p><strong>Keywords </strong>: Activity; Board of Directors; Sustainability; Audit Committee; Stata</p> <p><strong>JEL Classification: </strong>G32, G02, M1, G34, Z1</p>
New_Korespondensi The Role of Moderation Activities The Influence of The Audit Committee And The Board Of Directors on The Planning of The Sustainability Report
<p><strong>Abstract: </strong>In order to show the consistency of agency theory as a theory to explain the influence of the Audit Committee and the Board of Directors on Sustainability, this study will explore the role of moderating actions of the Audit Committee and the Board of Directors on Sustainability. The firms that make up the demographic and research sample for this study, which uses a quantitative technique, are those that are included in the Jakarta Islamic Index for the years 2017 through 2021. the study's yearly financial report panel data. The data analysis methods employed in this study were robust, fixed effects, random effects, and ordinary least square regression. These methods are one of the regression solution approaches that may be used with a lot of flexibility in research that combines thoughts, ideas, and facts. The first study found that the audit committee had an effect on sustainability, whereas the second found that the board of directors has no effect. Due to the third and fourth conclusions of the role of activities, the audit committee and board of directors are less strong on sustainability.</p> <p><strong>Keywords </strong>: Activity; Board of Directors; Sustainability; Audit Committee; Stata</p> <p><strong>JEL Classification: </strong>G32, G02, M1, G34, Z1</p>
Data from: Moderate recreational oyster harvest has variable impacts on biophysical properties of reefs and reef-associated fauna
<p>Data associated with the paper "Moderate recreational oyster harvest has variable impacts on biophysical properties of reefs and reef-associated fauna", published in Ecosphere, 2023.</p>
The Moderating Effect of Employee Agility on the Link between Employee Vitality, Digital Literacy and Transformational Leadership with Job Performance: An Empirical Study of HR Practitioners in the Manufacturing Sector of Northern Malaysia.
<p>This is a dataset for a study that examines the effects of employee vitality, digital literacy, and transformational leadership on job performance. Additionally, it investigates the moderating role of employee agility in these relationships. Data were collected from HR practitioners in manufacturing companies in the northern region of Malaysia for analysis. The results indicate that the job performance of HR practitioners is positively influenced by employee vitality, digital literacy and transformational leadership. </p>
TP05 for the Treatment of Mild to Moderate Active Ulcerative Colitis (UC)
ClinicalTrials.gov study NCT01903252. IPD Sharing: NO. Countries: 1. Publications: 3.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.